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34 lines
1021 B
34 lines
1021 B
2 days ago
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import unittest
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from tinygrad import Tensor
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from tinygrad.uop import Ops
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class TestKernelize(unittest.TestCase):
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def test_add_reshaped(self):
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a = Tensor.ones(16,16).contiguous()
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b = Tensor.zeros(16,16).contiguous()
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ret = (a+b).sum(axis=1)
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ret_reshaped_1 = ret.reshape(4,4)
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ret_reshaped_2 = ret.reshape(2,8)
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ret.kernelize()
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self.assertIs(ret_reshaped_1.uop.src[0], ret_reshaped_2.uop.src[0])
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def test_two_reduce(self):
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a = Tensor.ones(16,16).contiguous()
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a1 = a.sum(axis=1)
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a0 = a1.sum(axis=0)
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a0.kernelize()
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self.assertIs(a1.uop.base.op, Ops.ASSIGN)
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def test_two_reduce_w_add(self):
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a = Tensor.ones(16,16).contiguous()
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a1 = a.sum(axis=1)
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a0 = (a1+1).sum(axis=0)
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a0.kernelize()
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# NOTE: the +1 is fused with a1, so a1 is not kernelized
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self.assertIs(a1.uop.base.op, Ops.REDUCE_AXIS)
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# the input to the REDUCE_AXIS is an ASSIGN though
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self.assertIs(a1.uop.base.src[0].base.op, Ops.ASSIGN)
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if __name__ == '__main__':
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unittest.main()
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